Biostatistician

The University of Texas at Austin•Austin, UT

23h•Onsite

About The Position

This position provides professional statistical support to students and faculty in the School of Nursing. This position applies advanced statistical modeling, data visualization techniques, and other analytical skills to produce deliverables in response to routine and non-routine data requests. Engages in best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use. Investigates and applies new tools, algorithms, and processes for data mining and data visualization.

Requirements

Applicants must be authorized to work in the U.S. for any employer without sponsorship
Master’s degree in Statistics, Biostatistics, or Data Science
At least 2 years of collaborative statistical experience in an academic setting
Proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, and clinical trial data analyses
Expertise with open-source GUI-based statistical software (e.g., jamovi, JASP, PSPP)
Expertise with R
Excellent verbal and written communication skills
Excellent organizational and time management skills

Responsibilities

Performs advanced inferential statistical modeling and data visualization work in direct support of sponsored research and scientific publication
Independently designs and conducts the analytic components of research projects, from statistical analysis planning through model development, results reporting, and manuscript support, applying established professional standards with only general supervision from a principal investigator, department head, or research director
Creates original code in R as needed for conducting custom analyses
Advises faculty and students regarding best practice data analysis strategies
Supervises data analysis projects to ensure validity, rigor and reproducibility
Consults with faculty and students regarding data cleaning and management
Clearly explains data analysis steps and products to faculty and students
Demonstrates data analysis in SPSS or similar GUI-based software to support faculty and student comprehension of data analysis steps
Writes methods and results sections for scientific manuscripts
Writes data analysis plan for grant applications
Performs related duties as required